Craft와 함께 상상하기

CraftCards

by Carlos Gonzalez
Winter 2026 · Category Winner

Dedicated flashcard apps force you to maintain a separate set of notes. CraftCards skips that — it reads directly from your Craft Collections, so your study material and your notes are the same thing. Add a row in Craft, and it shows up in your next review session with FSRS scheduling.

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직접 빌드하기

단계 1 — Create Your Decks Collection

In Craft, create a new Collection called "Decks". Add columns for the deck name and an optional description. Each row in this collection becomes a flashcard deck.

단계 2 — Create Your Flashcards Collection

Create a second Collection called "Flashcards" with columns for: front (the question), back (the answer), and deck (a reference to which deck it belongs to). Add your study material as entries.

단계 3 — Enable the Craft API

Generate a read-only API key for your document. CraftCards reads your collections to build the flashcard interface — your data stays in Craft.

단계 1

“상상해보기” 탭을 열어보세요

단계 2

“첫 번째 API 추가”를 클릭하세요

단계 3

API 연결에 이름을 설정하세요. 이 프로젝트에서는 API가 문서 읽기만 필요합니다. API 권한을 “읽기”로 설정하세요.

단계 4

“문서 추가”를 클릭한 뒤 Study Materials 문서를 선택하세요.

단계 5

문서와 연결되는 API URL이 이제 상단에 표시됩니다

단계 4 — Connect CraftCards

Open CraftCards and paste your Craft API URL. The app automatically detects your Decks and Flashcards collections and builds the study interface.

단계 5 — Study with Spaced Repetition

CraftCards uses the FSRS algorithm (the same one Anki uses) to schedule your reviews. Cards you struggle with appear more often; cards you know well are spaced further apart. This optimizes your study time for long-term retention.

단계 6 — Track Your Progress

After each session, see your retention rates, streak count, and which cards need the most attention. Add new flashcards anytime by simply adding rows to your Craft collection.

The Result

Your Craft Collections become a spaced repetition study system. No need to export your notes to a separate app — study directly from your existing Craft data with scientifically proven scheduling that maximizes what you remember. The same pattern — Collections as a data layer for a custom UI — works for any use case.

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